Joey AI
Developed an AI assistant that engages parents in structured conversations to collect symptoms and developmental information prior to clinical consultations.
Project Overview
Developed an AI assistant that engages parents in structured conversations to collect symptoms and developmental information prior to clinical consultations.
Built conversational workflows using LLMs and prompt engineering to guide symptom collection and adaptive questioning.
Implemented safety guardrails and model armor policies to ensure safe, reliable interactions.
Generated structured clinical summaries from parent conversations for review by healthcare professionals.
Challenges & Solutions
Challenges
- Designing safe, reliable conversational flows for sensitive health information
- Balancing adaptive questioning with structured clinical data requirements
- Ensuring LLM outputs meet healthcare safety standards
Solutions
- Implemented safety guardrails and model armor policies for controlled interactions
- Built prompt-engineered workflows for guided symptom collection
- Generated structured clinical summaries from unstructured parent conversations
Results & Impact
Clinical Workflow
Enabled structured pre-consultation data collection through natural conversation
Safety & Reliability
Applied guardrails ensuring safe, consistent AI interactions with parents
Healthcare Integration
Produced structured summaries ready for professional clinical review